# Zhejiang University and TeleAI propose GR-BC, using graph search to select effective actions from robot trial and error

- Source: 机器之心 · 微信公众号
- Published: 2026-11-02T10:19:32.000Z
- RoboHot: https://robohot.news/en/items/m5hjewggvh68o0ga2jkhffglu
- Original: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651071630&idx=3&sn=eb53a9e986917c63fb1231d3ec554c30&chksm=85ce53b832be836ca0a05a84e8f9496315cfc613d817b04e7115daf8f86447d8a15be04bed9f&scene=126&sessionid=1793633449#rd

## Summary

The team led by Chunhua Shen at Zhejiang University, together with the China Telecom Artificial Intelligence Research Institute (TeleAI) and Chenjia Bai's team at Gamma Intelligence, proposed GR-BC, which builds multiple attempts at the same task into a graph, uses reverse Dijkstra search to estimate the remaining steps from each state to success, and then weights action chunks accordingly to train a vision-language-action model.